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| author | Frederic Bastien <nouiz@nouiz.org> | 2016-11-03 13:37:16 -0400 |
|---|---|---|
| committer | Frederic Bastien <nouiz@nouiz.org> | 2016-11-03 13:37:16 -0400 |
| commit | f7378efe8884cf4d79cee1d880f1daf9420bd649 (patch) | |
| tree | 5b8d22b677b3fc6b9c52cf9a7994ba4f57d01e51 /numpy/core/fromnumeric.py | |
| parent | e1e76fefbd5a41ae14308a43245b4ecdf3099252 (diff) | |
| download | numpy-f7378efe8884cf4d79cee1d880f1daf9420bd649.tar.gz | |
Keep the subclass and update the docstring per the comment.
Diffstat (limited to 'numpy/core/fromnumeric.py')
| -rw-r--r-- | numpy/core/fromnumeric.py | 5 |
1 files changed, 3 insertions, 2 deletions
diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py index a5c63ba84..613a24a13 100644 --- a/numpy/core/fromnumeric.py +++ b/numpy/core/fromnumeric.py @@ -2790,8 +2790,6 @@ def mean(a, axis=None, dtype=None, out=None, keepdims=np._NoValue): Returns the average of the array elements. The average is taken over the flattened array by default, otherwise over the specified axis. `float64` intermediate and return values are used for integer inputs. - `float32` intermediate are used for `float16` inputs for extra - precision. Parameters ---------- @@ -2849,6 +2847,9 @@ def mean(a, axis=None, dtype=None, out=None, keepdims=np._NoValue): example below). Specifying a higher-precision accumulator using the `dtype` keyword can alleviate this issue. + `float32` intermediate are used for `float16` inputs for extra + precision by default. + Examples -------- >>> a = np.array([[1, 2], [3, 4]]) |